12 citations · 32 across the 6 of their papers we have counts for
10 papers · 1 filter
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Alejandro Cartas, Coloma Ballester, Gloria Haro
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs. Lately, it has received a large amount of attention and…
Modeling long-term interactions to enhance action recognition
Alejandro Cartas, Petia Radeva, Mariella Dimiccoli
In this paper, we propose a new approach to under-stand actions in egocentric videos that exploits the semantics of object interactions at both frame and temporal levels. At the fr…
Seeing and Hearing Egocentric Actions: How Much Can We Learn?
Alejandro Cartas, Jordi Luque, Petia Radeva +2
Our interaction with the world is an inherently multimodal experience. However, the understanding of human-to-object interactions has historically been addressed focusing on a sing…
How Much Does Audio Matter to Recognize Egocentric Object Interactions?
Alejandro Cartas, Jordi Luque, Petia Radeva +2
Sounds are an important source of information on our daily interactions with objects. For instance, a significant amount of people can discern the temperature of water that it is b…
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams
Alejandro Cartas, Estefania Talavera, Petia Radeva +1
Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos. Typically, although their intrinsic…
Determination of Digital Straight Segments Using the Slope
Alejandro Cartas, María Elena Algorri
We present a new method for the recognition of digital straight lines based on the slope. This method combines the Freeman's chain coding scheme and new discovered properties of th…
Batch-based Activity Recognition from Egocentric Photo-Streams Revisited
Alejandro Cartas, Juan Marin, Petia Radeva +1
Wearable cameras can gather large a\-mounts of image data that provide rich visual information about the daily activities of the wearer. Motivated by the large number of health app…
Detecting Hands in Egocentric Videos: Towards Action Recognition
Alejandro Cartas, Mariella Dimiccoli, Petia Radeva
Recently, there has been a growing interest in analyzing human daily activities from data collected by wearable cameras. Since the hands are involved in a vast set of daily tasks,…
Batch-Based Activity Recognition from Egocentric Photo-Streams
Alejandro Cartas, Mariella Dimiccoli, Petia Radeva
Activity recognition from long unstructured egocentric photo-streams has several applications in assistive technology such as health monitoring and frailty detection, just to name…
Recognizing Activities of Daily Living from Egocentric Images
Alejandro Cartas, Juan Marín, Petia Radeva +1
Recognizing Activities of Daily Living (ADLs) has a large number of health applications, such as characterize lifestyle for habit improvement, nursing and rehabilitation services.…